Tree Identification with AI 1.6

Identify forest tree species using just a photograph of their leaves with this innovative application. Designed to enhance your experience in nature, this tool enables users to recognize trees in forests across various regions including North America, Western America, Europe, Russia, and Northern China.

The application utilizes artificial intelligence technology to accurately detect up to 185 different tree species. For optimal results, it is advised to capture a clear image of a single leaf.

The following tree species can be identified:

• Abies concolor
• Abies nordmanniana
• Acer campestre
• Acer ginnala
• Acer griseum
• Acer negundo
• Acer palmatum
• Acer pensylvanicum
• Acer platanoides
• Acer pseudoplatanus
• Acer rubrum
• Acer saccharinum
• Acer saccharum
• Aesculus flava
• Aesculus glabra
• Aesculus hippocastamon
• Aesculus pavi
• Ailanthus altissima
• Albizia julibrissin
• Amelanchier arborea
• Amelanchier canadensis
• Amelanchier laevis
• Asimina triloba
• Betula alleghaniensis
• Betula jacqemontii
• Betula lenta
• Betula nigra
• Betula populifolia
• Broussonettia papyrifera
• Carpinus betulus
• Carpinus caroliniana
• Carya cordiformis
• Carya glabra
• Carya ovata
• Carya tomentosa
• Castanea dentata
• Catalpa bignonioides
• Catalpa speciosa
• Cedrus atlantica
• Cedrus deodara
• (...and many more species listed in the app)

• Please consult the app for a comprehensive list of all detectable species. This application offers a practical tool for enthusiasts and professionals alike, providing an accessible means to engage with and understand the diversity of tree species in your environment.

• The dataset utilized for this application is derived from the work of Neeraj Kumar et al., as detailed in their research paper "Leafsnap: A Computer Vision System for Automatic Plant Species Identification," presented at the 12th European Conference on Computer Vision (ECCV) in October 2012.